{"id":"W4241023809","doi":"10.1021/acs.analchem.7b00807","title":"Immunohistochemistry Microarrays","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University Health Centre","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Tissue microarray; Immunohistochemistry; Staining; Multiplex; Stain; Pathology; Chemistry; Antibody; Protein microarray; Antibody microarray; Microarray; Molecular biology; Biology; Bioinformatics; Medicine; Gene expression; Biochemistry; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002406481,0.001510183,0.001751886,0.003142453,0.00148775,0.002360356,0.001980304,0.001923008,0.04905459],"category_scores_gemma":[0.001389254,0.001361598,0.001514288,0.002242412,0.000698437,0.001112857,0.001434092,0.002097591,0.04161952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000793703,"about_ca_system_score_gemma":0.0008121743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004998994,"about_ca_topic_score_gemma":0.001476622,"domain_scores_codex":[0.9955894,0.0008156014,0.0004027083,0.001365325,0.001337773,0.0004891917],"domain_scores_gemma":[0.9983115,0.000280444,0.0001965189,0.0005898353,0.0004726955,0.0001490615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002015128,0.0001241944,0.0007528838,0.0008268196,0.0001037973,0.0002217857,0.00009178582,0.0006127917,0.9259664,0.004432935,0.02016549,0.04649968],"study_design_scores_gemma":[0.00008311337,0.0004116124,0.003713882,0.0001501562,0.0001670129,0.001528337,0.0001108119,0.005699696,0.5270056,0.002494793,0.4585462,0.00008879088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0519673,0.01001608,0.7775187,0.001980569,0.002196506,0.003789757,0.02930648,0.02047957,0.102745],"genre_scores_gemma":[0.107272,0.008808421,0.7211694,0.002308497,0.0006741222,0.006004187,0.04646241,0.002634213,0.1046668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04905459,"threshold_uncertainty_score":0.164104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528924491419036,"score_gpt":0.3062093726951723,"score_spread":0.2909201277809819,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}